generated_from_trainer

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perioli_vgm_v5.0

This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 0.55 100 0.0929 0.5373 0.48 0.5070 0.9805
No log 1.1 200 0.0480 0.7325 0.7667 0.7492 0.9897
No log 1.65 300 0.0425 0.6536 0.78 0.7112 0.9910
No log 2.2 400 0.0290 0.8543 0.86 0.8571 0.9953
0.0746 2.75 500 0.0210 0.8627 0.88 0.8713 0.9963
0.0746 3.3 600 0.0182 0.8792 0.8733 0.8763 0.9963
0.0746 3.85 700 0.0113 0.8926 0.8867 0.8896 0.9974
0.0746 4.4 800 0.0119 0.9231 0.96 0.9412 0.9982
0.0746 4.95 900 0.0101 0.9290 0.96 0.9443 0.9984
0.0114 5.49 1000 0.0110 0.9329 0.9267 0.9298 0.9976
0.0114 6.04 1100 0.0132 0.9172 0.96 0.9381 0.9984
0.0114 6.59 1200 0.0110 0.9338 0.94 0.9369 0.9979
0.0114 7.14 1300 0.0114 0.9542 0.9733 0.9637 0.9984
0.0114 7.69 1400 0.0134 0.9355 0.9667 0.9508 0.9982
0.0035 8.24 1500 0.0132 0.9295 0.9667 0.9477 0.9982
0.0035 8.79 1600 0.0112 0.9295 0.9667 0.9477 0.9982
0.0035 9.34 1700 0.0098 0.9295 0.9667 0.9477 0.9982
0.0035 9.89 1800 0.0094 0.9295 0.9667 0.9477 0.9987
0.0035 10.44 1900 0.0115 0.9355 0.9667 0.9508 0.9984
0.0018 10.99 2000 0.0111 0.9355 0.9667 0.9508 0.9984

Framework versions